Journal
PARTICUOLOGY
Volume 8, Issue 2, Pages 150-160Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.partic.2009.07.005
Keywords
Slurry flow; Liquid-particle flow; Kinetic theory of granular flow; Drag correlation; Turbulence
Funding
- Nanyang Technological University [SUG 8/07]
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The present work examines the predictive capability of a two-fluid CFD model that is based on the kinetic theory of granular flow in simulating dilute-phase turbulent liquid-particle pipe flows in which the interstitial fluid effect on the particle fluctuating motion is significant. The impacts of employing different drag correlations and turbulence closure models to describe the fluid-particle interactions (i.e. drag force and long-range interaction) are examined at both the mean and fluctuating velocity levels. The model predictions are validated using experimental data of turbulent liquid-particle flows in a vertical pipe at different particle Reynolds numbers (Re(P) >400 and Re(P) <400), which characterize the importance of the vortex shedding phenomenon in the fluid-phase turbulence modulation. The results indicate that (1) the fluctuating velocity level predictions at different Re(P) are highly sensitive to the drag correlation selection and (2) different turbulence closure models must be employed to accurately describe the long-range fluid-particle interaction in each phase. In general, good agreement is found between the model predictions and the experimental data at both the mean and fluctuating velocity levels provided that appropriate combinations of the drag correlation and the turbulence closure model are selected depending on Re(P). (C) 2009 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
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